8 Owl Jobs

You will join ATH Software Solutions Pvt. Ltd. as an Odoo Developer Customization Specialist based in Vadodara, Gujarat. In this full-time, permanent role, you will be responsible for customizing Odoo modules to meet evolving customer requirements. Your key responsibilities will include designing, developing, and maintaining custom Odoo apps, reports, and integrations, as well as refactoring existing modules following Odoo best practices. You will participate in client requirement workshops to translate functional specifications into technical tasks. Additionally, you will draft technical documentation, data-flow diagrams, and deployment notes. As part of your role, you will diagnose performance issues in Python, PostgreSQL, JS, and XML to deliver optimized solutions. You will be expected to maintain version control using Git and follow CI/CD pipelines. Quality assurance will be a key aspect of your role, where you will write unit tests, conduct peer code reviews, support UAT sessions, and provide post-deployment warranty support. The ideal candidate will have at least 1 year of hands-on Odoo development experience, preferably with Odoo v16 or later, and a demonstrable customization portfolio. You must possess strong skills in Python, PostgreSQL, Odoo MVC, ORM, XML views, QWeb reports, JavaScript (OWL / jQuery), and REST/JSON APIs. Proficiency in version control systems like Git/GitHub/GitLab is required, along with problem-solving skills to quickly debug tracebacks and performance bottlenecks. It is essential to be based in Vadodara or willing to relocate immediately, as there is no remote work option available. Nice-to-have qualifications include exposure to Nginx, knowledge of Odoo.sh or on-prem CI pipelines, experience integrating third-party software with Odoo, and Odoo certification. If you meet the qualifications and are interested in this opportunity, please send your profile to Careers@athsoft.com.,

The Senior Semantic Modeler will be responsible for designing, developing, and maintaining Semantic models using platforms like CubeDev, HoneyDew, AtScale, and others. This role requires a deep understanding of Semantic modeling principles and practices. You will work closely with data architects, data engineers, and business stakeholders to ensure the accurate and efficient representation of data for Generative AI and Business Intelligence purposes. Experience with graph-based semantic models is a plus. As a Product Architect - Semantic Modelling, your key responsibilities will include: - Designing and developing Semantic data models using platforms such as CubeDev, HoneyDew, AtScale, etc. - Creating and maintaining Semantic layers that accurately represent business concepts and support complex querying and reporting. - Collaborating with stakeholders to understand data requirements and translating them into semantic models. - Integrating semantic models with existing Gen AI & BI infrastructure alongside data architects and engineers. - Ensuring the alignment of semantic models with business needs and data governance policies. - Defining key business metrics within the semantic models for consistent and accurate reporting. - Identifying and documenting metric definitions in collaboration with business stakeholders. - Implementing processes for metric validation and verification to ensure accuracy and reliability. - Monitoring and maintaining the performance of metrics within the Semantic models and addressing any issues promptly. - Developing efficient queries and scripts for data retrieval and analysis. - Conducting regular reviews and updates of semantic models to ensure their effectiveness. - Providing guidance and expertise on Semantic technologies and best practices to the development team. - Performing data quality assessments and implementing improvements for data integrity and consistency. - Staying up to date with the latest trends in Semantic technologies and incorporating relevant innovations into the modeling process. - Secondary responsibilities may include designing and developing graph-based semantic models using RDF, OWL, and other semantic web standards. - Creating and maintaining ontologies that accurately represent domain knowledge and business concepts. Requirements: - Bachelor's or Masters degree in Computer Science, Information Systems, Data Science, or a related field. - Minimum of 6+ years of experience in Semantic modeling, data modeling, or related roles. - Proficiency in Semantic modeling platforms such as CubeDev, HoneyDew, AtScale, etc. - Strong understanding of data integration and ETL processes. - Familiarity with data governance and data quality principles. - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - Experience with graph-based semantic modeling tools such as Protg, Jena, or similar is a plus. Functional skills: - Experience in Lifesciences commercial analytics industry is preferred with familiarity in industry-specific data standards. - Knowledge of Gen AI overview and frameworks would be a plus. - Certification in BI semantic modeling or related technologies. Trinity is a life science consulting firm, founded in 1996, committed to providing evidence-based solutions for life science corporations globally. With over 25 years of experience, Trinity is dedicated to solving clients" most challenging problems through exceptional service, powerful tools, and data-driven insights. Trinity has 12 offices globally, serving 270+ life sciences customers with 1200+ employees. The India office was established in 2017 and currently has around 350+ employees, with plans for exponential growth. Qualifications: B.E Graduates are preferred.,

You are a highly skilled and motivated Senior Content Taxonomy Analyst who will be responsible for designing, developing, and maintaining ontologies and taxonomies that drive the content strategy and underpin the content management platform. Your role is crucial in ensuring that information is organized, accessible, and effectively utilized across the organization. As a Senior Content Taxonomy Analyst, you will collaborate with subject matter experts to gather requirements, define scope, and ensure the accuracy and completeness of knowledge models. You will apply semantic web standards and technologies such as RDF, OWL, and SKOS to build robust and scalable ontologies. You will develop and implement a comprehensive content taxonomy strategy that aligns with business goals and user needs. This includes defining content types, metadata schemas, and controlled vocabularies to support content creation, management, and retrieval. Establishing guidelines and best practices for content tagging and classification will also be part of your responsibilities. Working closely with the content management platform team, you will integrate ontologies and taxonomies into the platform's architecture and functionality. You will ensure that the platform effectively supports semantic search, faceted navigation, and other knowledge-driven features. Additionally, you will provide guidance and support to content authors and editors on the use of taxonomies and metadata. Your role will also involve contributing to the development of data governance policies and standards related to ontology and taxonomy management. You will ensure compliance with industry best practices and relevant standards while promoting the use of ontologies and taxonomies across the organization. Collaboration with cross-functional teams, including content creators, developers, data scientists, and business stakeholders, will be essential. You will need to communicate complex technical concepts clearly and effectively to both technical and non-technical audiences. Staying up-to-date on the latest trends and technologies in ontology and knowledge representation and participating in industry communities will also be part of your role. In addition to a Bachelor's degree in Computer Science, Information Science, Library Science, Linguistics, or a related field, a Master's degree is preferred. You should have 3+ years of experience in ontology development, taxonomy design, or knowledge representation. Strong understanding of semantic web technologies, experience with ontology editing tools, content management systems, and excellent analytical, problem-solving, and communication skills are necessary. Ability to work independently and collaboratively in a fast-paced environment is also required. If you have experience with machine learning, natural language processing techniques, knowledge graph technologies, data governance principles, ontology editing tools, or industry domains like Architecture, Engineering & Construction, Manufacturing, Media & Entertainment, Product Design & Development, it would be considered a plus. Join us at Autodesk, where amazing things are created every day with our software. Be your whole, authentic self and do meaningful work that helps build a better future for all. Shape the world and your future with us!,

Job description We at DC Varian are looking for an enthusiastic developer with following skills, roles and responsibilities Roles and Responsibilities: Responsible for the high level and low level design Implementation of features and/or bug-fixing and delivering solutions adhering to coding and quality guidelines Identification and implementation of (unit/integration) tests to ensure solution addresses customer requirements and does not cause impact to installed base Performing code review, providing documentation (requirement/design/test specification) inputs, and ensuring delivery conforms to organization and project quality processes Desired Experience: 7+ years of hands-on development experience and highly proficient in C/C++ programming 5 years of experience in embedded software development Working experience with C# is an added advantage Design and implement object-oriented software across PC and embedded programming languages (C#, C, C++) Experience with control systems (medical or industrial), and state machine-based implementation. Experience real-time operating systems such as VxWorks (preferred), QNX, or Others, Rhapsody Tool Good communication skills and be fluent in English (writing and speaking) Knowledge of DICOM and medical domain are added plus

JOB REQUIREMENTS/ SKILLS: Experience in Data Engineering and Ontology Expert in Data modelling, high level architecture designs and concepts with 2-7 years of experience Strong Python programming skills Good experience in ETL (Extract, Transform, Load) operations using Python and loading to graph DB. Expert in converting data into RDF. Expert in understanding of triple store database concepts and implementation in Graph DB (like Blazegraph) Supports new developments in Digitalization which are based on 3D, 4D and 5Ddata Expert in converting data from different formats like xml, excel etc into RDF (Resource Description Framework) Expert in various relational databases and NoSQL databases like MongoDB, semantics, triple stores etc Hands on working experience in Semantic Web standards from W3C: RDF, RDFS, OWL, SPARQL etc. Large scale data visualizations on the lines of d3js, Graphviz. Advance Level knowledge on data integration and complex data workflows Mandatory Skills: RDF, RDFS, OWL, SPARQL, Data Modeling Minimum 1 year of relevant (only hands on experience is countable, not just knowledge or awareness) experience on above mandatory technology stack Total experience should be about 2-7 years of experience

Semantic Web technologies: o RDF o RDFS, OWL, SHACL o SPARQL o JSON-LD, N-Triples/N-Quads, Turtle, RDF/XML, TriX API-led architectures o REST, SOAP o Microservices o API Management Graph databases, such as Dydra, Amazon Neptune, Neo4J, Oracle Spatial & Graph is a plus Experience with other NoSQL databases, such as key-value databases and document-based databases (e.g. XML databases) is a plu Experience with relational databases Programming experience, preferably Java, JavaScript, Python, PL/SQL Experience with web technologies: HTML, CSS, XML, XSLT, XPath Experience with modelling languages such as UML Understanding of CI/CD automation, version control, build automation, testing frameworks, static code analysis, IT service management, artifact management, container management, and experience with related tools and platforms. Familiarity with Cloud computing concepts (e.g. in AWS and Azure).

Hiring for expert in Semantic Web (RDF, OWL, SPARQL), API-led architecture (REST/SOAP), Graph & NoSQL DBs, Java/Python, web tech (HTML, XML), UML, CI/CD, and cloud (AWS/Azure). Experience with Neo4j, Amazon Neptune, and microservices a plus.

The Role : The Knowledge Engineering team are seeking a Lead Knowledge Engineer to support our strategic transformation from a traditional data organization into a next generation interconnected data intelligence organization. The Team : The Knowledge Engineering team within data strategy and governance helps to lead fundamental organizational and operational change driving our linked data, open data, and data governance strategy, both internally and externally. The team partners closely with data and software engineering to envision and build the next generation of data architecture and tooling with modern technologies. The Impact : Knowledge Engineering efforts occur within the broader context of major strategic initiatives to extend market leadership and build next-generation data, insights and analytics products that are powered by our world class datasets. Whats in it for you : The Lead Knowledge Engineer role is an opportunity to work as an individual contributor in creatively solving complex challenges alongside visionary leadership and colleagues. Its a role with highly visible initiatives and outsized impact. The wider division has a great culture of innovation, collaboration, and flexibility with a focus on delivery. Every person is respected and encouraged to be their authentic self. Responsibilities : Develop, implement, and continue to enhance ontologies, taxonomies, knowledge graphs, and related semantic artefacts for interconnected data, as well as topical/indexed query, search, and asset discovery Design and prototype data software engineering solutions enabling to scale the construction, maintenance and consumption of semantic artefacts and interconnected data layer for various application contexts Provide thought leadership for strategic projects ensuring timelines are feasible, work is effectively prioritized, and deliverables met Influence the strategic semantic vision, roadmap, and next-generation architecture Execute on the interconnected data vision by creating linked metadata schemes to harmonize semantics across systems and domains Analyze and implement knowledge organization strategies using tools capable of metadata management, ontology management, and semantic enrichment Influence and participate in governance bodies to advocate for the use of established semantics and knowledge-based tools Qualifications: Able to communicate complex technical strategies and concepts in a relatable way to both technical and non-technical stakeholders and executives to effectively persuade and influence 5+ years of experience with ontology development, semantic web technologies (RDF, RDFS, OWL, SPARQL) and open-source or commercial semantic tools (e.g., VocBench, TopQuadrant, PoolParty, RDFLib, triple stores); Advanced studies in computer science, knowledge engineering, information sciences, or related discipline preferred 3+ years of experience in advanced data integration with semantic and knowledge graph technologies in complex, enterprise-class, multi-system environment(s); skilled in all phases from conceptualization to optimization Programming skills in a mainstream programming language (Python, Java, JavaScript), with experience in utilizing cloud services (AWS, Google Cloud, Azure) is a great bonus Understanding of the agile development life cycle and the broader data management discipline (data governance, data quality, metadata management, reference and master data management)